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Which spatial interpolators I should use? A case study applying to marine species

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  • Rufino, Marta M.
  • Albouy, Camille
  • Brind'Amour, Anik

Abstract

Species are spread in space, whereas sampling is sparse. Thus, to describe and map along environmental gradients, it is necessary to interpolate the species abundance. Considering the plethora of valid methods, the researcher gets easily puzzled to choose the most appropriate interpolation approach with reference to the ecological question being asked.

Suggested Citation

  • Rufino, Marta M. & Albouy, Camille & Brind'Amour, Anik, 2021. "Which spatial interpolators I should use? A case study applying to marine species," Ecological Modelling, Elsevier, vol. 449(C).
    • Handle: RePEc:eee:ecomod:v:449:y:2021:i:c:s0304380021000727
    DOI: 10.1016/j.ecolmodel.2021.109501
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    References listed on IDEAS

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    3. Marta Mega Rufino & Nicolas Bez & Anik Brind’Amour, 2018. "Integrating spatial indicators in the surveillance of exploited marine ecosystems," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-21, November.
    4. Austin, Mike, 2007. "Species distribution models and ecological theory: A critical assessment and some possible new approaches," Ecological Modelling, Elsevier, vol. 200(1), pages 1-19.
    5. Jin Li, 2017. "Assessing the accuracy of predictive models for numerical data: Not r nor r2, why not? Then what?," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-16, August.
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